A novel approach to detect electricity theft based on conv-attentional Transformer Neural Network
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference40 articles.
1. Power utility nontechnical loss analysis with extreme learning machine method;Nizar;IEEE Trans Power Syst,2008
2. Classification of new electricity customers based on surveys and smart metering data;Viegas;Energy,2016
3. Energy theft detection in multi-tenant data centers with digital protective relay deployment;Zhou;IEEE Trans Sustain Comput,2017
4. Intelligent energy meter with advanced billing system and electricity theft detection;Patil,2017
5. Detecting and locating non-technical losses in modern distribution networks;Leite;IEEE Trans Smart Grid,2016
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